Awesome
HiPAL
Code for KDD'22 Paper -- HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records
<img width="1491" alt="image" src="https://user-images.githubusercontent.com/12636809/153683643-512be547-c8aa-44f7-bf3c-687d58cffa5b.png">Setup
pip install requirements.txt
To Run
Parse activities from EHR log files:
python log_parsing.py
Run HiPAL and its variants:
bash bash/run_hitcn_cv.sh
Run single-level models (FCN, CausalNet, ResTCN):
bash bash/run_single_level.sh
Run hierarchial RNNs (H-RNN, HiGRU):
bash bash/run_higru_cv.sh
Interpretable Burnout Prediction
<img width="1394" alt="image" src="https://user-images.githubusercontent.com/12636809/161803105-4b09591c-6cde-4428-b38e-553c95997e9b.png">Citation
Please consider citing our work if you find this repository useful!
@article{liu2022hipal,
title={HiPAL: A Deep Framework for Physician Burnout Prediction Using Activity Logs in Electronic Health Records},
author={Liu, Hanyang and Lou, Sunny S and Warner, Benjamin C and Harford, Derek R and Kannampallil, Thomas and Lu, Chenyang},
journal={ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)},
year={2022}
}